Nowadays, we produce data as big as ever before, at what point we apply big data techniques and solutions on it?
big data is first characterized by the large size of the data, obviously the number of variable reinforces the massive aspect of the data.
Thank you Prof. Azedine for your answer, however how massive it should be? I assume it also depends on the applications subject of study.
I would say both. It is hard to say how big is big, it really depends on applications. Imaging internet data can be really massive but clinical data can be much smaller.
Thank you Dr Long for your answer.
Big data characteristics
1. Volume
2. Velocity
3. Unstructured
Data VOLUME is important, but for me the most important characteristic is their VARIETY.
https://tdwi.org/articles/2017/02/08/10-vs-of-big-data.aspx
I think i agree with Prof. Pedro. the variety of the data has great impact in saying how big a data is.
Depends on.
3. variety.
Data types: Structure, Unstructured and Semi-Structured.
Machine learning algorithms are generally time consuming specially the training part. However, some applications need the training to be done in real time.
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